Focus of International Classification of Diseases in China based on key-words co-occurrence method
10.3760/cma.j.issn.1006-1924.2014.02.027
- VernacularTitle:基于关键词共现的国内国际疾病分类领域研究热点分析
- Author:
Xiufang LI
;
Huihui ZUO
;
Baiyu JIN
;
Xianbing YANG
;
Shaoxia LI
;
Lingyan JIANG
- Publication Type:Journal Article
- Keywords:
Co-word analysis;
Social network analysis;
International classification of diseases;
Subjects classification;
Core themes
- From:
Chinese Journal of Medical Science Research Management
2014;27(2):209-212,235
- CountryChina
- Language:Chinese
-
Abstract:
The purpose of this article was to explore the hotspots in the field of international classification of diseases in China.The methods adopted were Factor Analysis,Cluster Analysis,Multidimensional Scaling Analysis and Social Network Analysis by building the high-frequency keywords co-occurrence matrix in this field.The themes are clustered into ten classes based on the results of Factor Analysis with ten common factors extracted.The results of Social Network Analysis showed that the research of medical payment methods using medical records information is the core theme in this field,which will continue in the future.
